A nanoporous platinum-yttrium alloy (NP-PtY) was fabricated by dealloying ribbons of a PtYAl alloy. Owing to the high porosity and the synergistic effect of Y in the Pt backbone, the NP-PtY exhibits superior structural stability, reproducibility and electrocatalytic activity. An electrochemical sensor was developed for the highly sensitive and selective detection of dopamine (DA) based on the use of a glassy carbon electrode modified with NP-PtY alloy and graphene. The sensor, best operated at 0.16 V vs. SCE, has a linear range covering the 0.9 to 82 μM concentration range, a 0.36 μM detection limit (at S/N = 3), and good selectivity over tyramine, tryptamine, phenethylamine, uric acid, and ascorbic acid. It gave satisfactory results in the determination of DA in spiked samples of urine. Graphical abstract Nanoporous platinum-yttrium alloy (NP-PtY) was fabricated by means of a one-step dealloying process. A glassy carbon electrode modified with the NP-PtY and graphene nanocomposite exhibits a wide linear range and a low detection limit towards dopamine. The sensor has remarkable reproducibility, stability and selectivity.
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http://dx.doi.org/10.1007/s00604-017-2624-2 | DOI Listing |
Addressing the pressing need to develop affordable and efficient catalysts is essential. In this study, we successfully synthesized CuBiS nanostructures with a modified morphology using three different nitrogen bases: DBN, DBU, and DABCO a hydrothermal technique. These nanostructures were used for the electrochemical detection of organic nitro groups, a previously unexplored application for this material.
View Article and Find Full Text PDFFood Chem X
January 2025
Hunan Key Laboratory of Biomedical Nanomaterials and Devices, College of Life Science and Chemistry, Hunan University of Technology, Zhuzhou 412007, China.
An ultrasensitive and selective voltammetric platform combined a molecularly imprinted poly(pyrrole) membrane with Ag-nanoparticle-functionalized black phosphorus nanosheets (MIP/BPNS-AgNPs) was developed for trace GAT detection. The physicochemical properties of the MIP/BPNS-AgNPs were studied by various spectroscopic and electrochemical techniques. BPNS-AgNPs improved the ambient stability and electrochemical activity of the BPNS and possessed a large surface area for accommodating abundant templates to produce specific imprinted sites.
View Article and Find Full Text PDFCrit Rev Anal Chem
January 2025
Chemistry Department, Faculty of Science, Cairo University, Giza, Egypt.
Epilepsy is a serious neurological disease that impacts all facets of a patient's life, including their socioeconomic situation. The failure to identify underlying epileptic signatures in their early stages might result in severe harm to the central nervous system (CNS) and permanent adverse changes to some organs. Therefore, numerous antiepileptic drugs (AEDs are frequently used to control and treat the frequency of seizures.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
College of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, PR China; Engineering Research Center of Oilfield Chemistry, Ministry of Education, Chengdu 610500, PR China; Oil & Gas Field Applied Chemistry Key Laboratory of Sichuan Province, Chengdu 610500, PR China. Electronic address:
In this study, polyamide/silica/sodium alginate (SA) composite (PA-Si-SA) was successfully prepared in one-step benzoxazine-isocyanide chemistry (BIC)/sol-gel process at room temperature. The chemical structure and fundamental properties of PA-Si-SA were characterized by FT-IR, solid-state C NMR, XPS, XRD, SEM, BET and TG, etc. The presence of anionic SA and diverse N, O-containing functional segments (amide, tertiary amine, alkyl/phenol -OH, Si-O-Si, and COO) in PA-Si-SA endows it synergistic complexation capability toward Pb and Cd.
View Article and Find Full Text PDFTalanta
December 2024
NanoBiosensors and Biodevices Lab, School of Medical Science and Technology, Indian Institute of Technology Kharagpur, West Bengal, 721302, India. Electronic address:
This work presents a robust strategy for quantifying overlapping electrochemical signatures originating from complex mixtures and real human plasma samples using nickel-based electrochemical sensors and machine learning (ML). This strategy enables the detection of a panel of analytes without being limited by the selectivity of the transducer material and leaving accommodation of interference analysis to ML models. Here, we fabricated a non-enzymatic electrochemical sensor for L-lactic acid detection in complex mixtures and human plasma samples using nickel oxide (NiO) nanoparticle-modified glassy carbon electrodes (GCE).
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